Instructions to use nitrosocke/redshift-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/redshift-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/redshift-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
add gradio demo
#7
by akhaliq HF Staff - opened
README.md
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@@ -19,6 +19,11 @@ Use the tokens **_redshift style_** in your prompts for the effect.
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**If you enjoy my work and want to test new models before release, please consider supporting me**
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[](https://patreon.com/user?u=79196446)
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**Characters rendered with the model:**
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**Cars and Landscapes rendered with the model:**
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**If you enjoy my work and want to test new models before release, please consider supporting me**
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[](https://patreon.com/user?u=79196446)
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# Gradio
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We support a [Gradio](https://github.com/gradio-app/gradio) Web UI run anything-v3.0:
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[](https://huggingface.co/spaces/akhaliq/anything-v3.0)
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**Characters rendered with the model:**
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**Cars and Landscapes rendered with the model:**
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